Are there any good research papers around Text clustering using LLMs [R]

A user is seeking research papers on text clustering using Large Language Models (LLMs) for a project involving 100 document files. The goal is to group documents with similar procedures or content into clusters. Traditional ML clustering methods like K-means, agglomerative, and DBSCAN were attempted but did not yield satisfactory cluster quality, as they primarily focused on word-by-word or template matching.

This user's specific requirement for LLM-based clustering, unlike traditional methods, focuses on semantic similarity beyond word-by-word matching for 100 documents.